Cover Image

Modelling bioenvironmental factors for oil palm plantations in Riau Indonesia towards fresh fruit bunch productivity

Productivity of Fresh Fruit Bunch (FFB) varies in each country. Indonesia is the largest oil palm plantation country, but it has the lowest FFB productivity due to bioenvironmental factors. This study identified bioenvironmental factors that affect FFB productivity, and explored a new model for pred...

Full description

Saved in:
Bibliographic Details
Main Author: Salmiyati, Salmiyati
Format: Thesis
Language:English
Published: 2017
Subjects:
QH Natural history
Online Access:http://eprints.utm.my/id/eprint/79504/1/SalmiyatiPFBME2017.pdf
http://eprints.utm.my/id/eprint/79504/
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.utm.79504
record_format eprints
spelling my.utm.795042018-10-31T12:42:01Z http://eprints.utm.my/id/eprint/79504/ Modelling bioenvironmental factors for oil palm plantations in Riau Indonesia towards fresh fruit bunch productivity Salmiyati, Salmiyati QH Natural history Productivity of Fresh Fruit Bunch (FFB) varies in each country. Indonesia is the largest oil palm plantation country, but it has the lowest FFB productivity due to bioenvironmental factors. This study identified bioenvironmental factors that affect FFB productivity, and explored a new model for prediction of FFB productivity. To identify the factors, data were collected from literature, survey, focus group discussion, and field observation of 200 blocks of oil palm plantation in an area of 2,300 hectares in the Riau province. Correlation among bioenvironmental factors and FFB productivity was statistically analysed using linear regression. From the findings, a model was developed based on multiple regression of the Cobb Douglas function. The new model was simulated using Dynamic System software (Stella 9.0.2) to define the relationship between factors and estimate the FFB productivity of oil palm until it reaches its productive age. Simulations were conducted and verified by comparing the results with previous related studies. Besides, results were also validated using a Chi Square test from field survey in oil palm plantations. The statistical results confirmed that FFB productivity was affected by ten groups of bioenvironmental factors. These factors that can increase FFB productivity by nearly 7.58% include good management of oil palm biophysics, bioagent, water conservation, soil conservation, fertilizer, topography, and climate. On the contrary, management of pest, diseases, and herbicide can decrease FFB productivity by nearly 0.31%. Furthermore, simulation results indicated that the optimum productive oil palm was 30 years old, and that there were no significant differences in the validation results between the field survey and simulation, showing that the model is sustainable. These results have shown that the model can be used as support for FFB productivity management based on bioenvironmental factors. 2017 Thesis NonPeerReviewed application/pdf en http://eprints.utm.my/id/eprint/79504/1/SalmiyatiPFBME2017.pdf Salmiyati, Salmiyati (2017) Modelling bioenvironmental factors for oil palm plantations in Riau Indonesia towards fresh fruit bunch productivity. PhD thesis, Universiti Teknologi Malaysia, Faculty of Biosciences and Medical Engineering.
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic QH Natural history
spellingShingle QH Natural history
Salmiyati, Salmiyati
Modelling bioenvironmental factors for oil palm plantations in Riau Indonesia towards fresh fruit bunch productivity
description Productivity of Fresh Fruit Bunch (FFB) varies in each country. Indonesia is the largest oil palm plantation country, but it has the lowest FFB productivity due to bioenvironmental factors. This study identified bioenvironmental factors that affect FFB productivity, and explored a new model for prediction of FFB productivity. To identify the factors, data were collected from literature, survey, focus group discussion, and field observation of 200 blocks of oil palm plantation in an area of 2,300 hectares in the Riau province. Correlation among bioenvironmental factors and FFB productivity was statistically analysed using linear regression. From the findings, a model was developed based on multiple regression of the Cobb Douglas function. The new model was simulated using Dynamic System software (Stella 9.0.2) to define the relationship between factors and estimate the FFB productivity of oil palm until it reaches its productive age. Simulations were conducted and verified by comparing the results with previous related studies. Besides, results were also validated using a Chi Square test from field survey in oil palm plantations. The statistical results confirmed that FFB productivity was affected by ten groups of bioenvironmental factors. These factors that can increase FFB productivity by nearly 7.58% include good management of oil palm biophysics, bioagent, water conservation, soil conservation, fertilizer, topography, and climate. On the contrary, management of pest, diseases, and herbicide can decrease FFB productivity by nearly 0.31%. Furthermore, simulation results indicated that the optimum productive oil palm was 30 years old, and that there were no significant differences in the validation results between the field survey and simulation, showing that the model is sustainable. These results have shown that the model can be used as support for FFB productivity management based on bioenvironmental factors.
format Thesis
author Salmiyati, Salmiyati
author_facet Salmiyati, Salmiyati
author_sort Salmiyati, Salmiyati
title Modelling bioenvironmental factors for oil palm plantations in Riau Indonesia towards fresh fruit bunch productivity
title_short Modelling bioenvironmental factors for oil palm plantations in Riau Indonesia towards fresh fruit bunch productivity
title_full Modelling bioenvironmental factors for oil palm plantations in Riau Indonesia towards fresh fruit bunch productivity
title_fullStr Modelling bioenvironmental factors for oil palm plantations in Riau Indonesia towards fresh fruit bunch productivity
title_full_unstemmed Modelling bioenvironmental factors for oil palm plantations in Riau Indonesia towards fresh fruit bunch productivity
title_sort modelling bioenvironmental factors for oil palm plantations in riau indonesia towards fresh fruit bunch productivity
publishDate 2017
url http://eprints.utm.my/id/eprint/79504/1/SalmiyatiPFBME2017.pdf
http://eprints.utm.my/id/eprint/79504/
_version_ 1643658213765152768
score 13.211869

Similar Items